Integrated model predictive fault-tolerant control, and fault detection based on the parity space approach for a reverse osmosis desalination unit

Mehrad, Reza; Kargar, Seyed Mohamad

doi:10.1177/0142331219898942

Cited by 6 publications

(4 citation statements)

References 34 publications

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“…1. In this process, the manipulated input variables [16] are measured at the feed side the measured variables are the rejection valve θ v and the speed variator S v . In radial direction [17], the permeate comes out from the reverse osmosis and the axial flow stream enters as rejection (or) brine.…”

Section: Figure 1: Block Schematic Of Reverse Osmosis Processmentioning

confidence: 99%

Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

Kavin¹,

Senthilkumar²

2022

Computers, Materials &Amp; Continua

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The main aim of this work is to design a suitable Fractional Order Proportionl Integral Derivative (FOPID) controller with Chaotic Whale Optimization Algorithm (CWOA) for a RO desalination system. Continuous research on Reverse Osmosis (RO) desalination plants is a promising technique for satisfaction with sustainable and efficient RO plants. This work implements CWOA based FOPID for the simulation of reverse osmosis (RO) desalination process for both servo and regulatory problems. Mathematical modeling is a vital constituent of designing advanced and developed engineering processes, which helps to gain a deep study of processes to predict the performance, more efficiently. Numerous approaches have been employed for mathematical models based on mass and heat transfer and concentration of permeable flow rate. Incorporation of FOPID controllers is broadly used to improve the dynamic response of the system, at the same time, to reduce undershoot or overshoot, steady state error and hence improve the response. The performances of the FOPID controller with optimization is compared in terms of measures such as Integral Time Absolute Error (ITAE) and Integral Square Error (ISE). Simulation results with FOPID on desalination process achieved rise time of 0.0311 s, settling time of 0.0489 s and 0.7358% overshoot, better than the existing techniques available in the literatures.

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Section: Figure 1: Block Schematic Of Reverse Osmosis Processmentioning

confidence: 99%

Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

Kavin¹,

Senthilkumar²

2022

Computers, Materials &Amp; Continua

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“…It was noted that the classification accuracy obtained by using the decision trees was the best as compared to the other learning techniques like K-Nearest Neighbours, Neural Networks, and Support Vector Machines (SVM). Mehrad, R., and Kargar., (2020) has been introduced a parity space approach for controlling and detecting the faults of the reverse osmosis desalination plant. Here, the parity space approach is utilized to identify the flaws that occur in the actuator.…”

Section: Related Workmentioning

confidence: 99%

Water Desalination Plant Fault Detection using Artificial Neural Network

2022

Global NEST: The International Journal

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<p>Water famine is very cruel. The desalination plant was brought in to alleviate the water shortage. A desalination plant has been set up in many places around the world. In the view of expanding worldwide need of fresh water, the usage of desalination plant becomes more common. There are more than twenty-five thousand desalination plants around the world. Many industries require treated water for production, water treatment, and other functions. Water quality is occasionally insufficient or does not satisfy the quality criteria for manufacturing causes. So, the enterprises utilize desalination systems to purify water for their own usage. It makes the water safe to drink as well as suitable for a variety of industrial applications. The fault occurring in the desalination plant, it slows down the processing the speed and reduce the output rate. In this study, focuses on the faults like not under system control, electrical fault, pump fault, control valve fault, inaccurate signal, old data fault, derived fault and transmitter fault. The proposed artificial neural network with the single and double component fault (ANN S-DCF) is introduced to detect the faults occurring in the desalination plant. The faults are splitted into two catagories and characteristics of each fault are trained in the artificial neural network. The result of this work achieves the best accuracy comparing to the existing techniques of SVR (support vector regression), PCA (principal component analysis) and DPLS (dynamic partial least square) method. This study achieves the accuracy rate of 96%, precision rate of 93% and sensitivity rate of 95% respectively with low complexity and high operational speed.</p>

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“…An integrated FD and FTC design was proposed in [31] for a reverse osmosis desalination unit. A parity space technique was considered to approximate actuator faults, and a receding-horizon predictive control-bounded data uncertainties controller was considered to compensate for the extant uncertainty generated by the model and observer.…”

Section: Introductionmentioning

confidence: 99%

Design of Linear Matrix Inequality-Based Adaptive Barrier Global Sliding Mode Fault Tolerant Control for Uncertain Systems with Faulty Actuators

Naseri

Mobayen

et al. 2022

Mathematics

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This paper proposes a linear matrix inequality (LMI)-based adaptive barrier global sliding mode control (ABGSMC) for uncertain systems with faulty actuators. The proposed approach is derived using a novel global nonlinear sliding surface to guarantee the global dynamic property and to ensure system stability and the occurrence of sliding in the presence of actuator faults. The optimal coefficients of the sliding surface are determined using the LMI method. The system’s asymptotic stability is proven using Lyapunov theory. Additionally, an adaptive barrier function is considered to ensure the convergence of the output variables to a predefined locality of zero in a limited time, even where external disturbances and actuator faults are present. In order to decrease the steepness of the control action and mitigate the chattering phenomenon, the hyperbolic tangent function is employed instead of the signum function in the sliding mode control. The proposed method is validated using a simulation study of the Genesio’s chaotic system.

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Integrated model predictive fault-tolerant control, and fault detection based on the parity space approach for a reverse osmosis desalination unit

Cited by 6 publications

References 34 publications

Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

Water Desalination Plant Fault Detection using Artificial Neural Network

Design of Linear Matrix Inequality-Based Adaptive Barrier Global Sliding Mode Fault Tolerant Control for Uncertain Systems with Faulty Actuators

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